Article Summary
Machine learning is a subfield of AI that trains algorithms on real-world data to build predictive models. This article covers supervised, unsupervised, semi-supervised learning, neural networks, reinforcement learning, and how ML relates to AI. You'll gain a clear, practical understanding of how machine learning works.
What is machine learning? Put simply, machine learning describes computer algorithms trained with real-world data to build predictive models.
Even though it’s a subfield of artificial intelligence (AI), machine learning isn’t as complicated as it may seem. As a simple example, imagine we’ve collected data on the height and weight of 100 people. We call this our training data. We could graph the data we collected with the measured heights on the X-axis and weights on the Y-axis, as seen below.
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Article Summary Machine learning is a subfield of AI that trains algorithms on real-world data to build predictive models. This article covers supervised, unsup This guide provides structured insights, proven methodologies, and actionable execution steps for modern professionals.
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